Uned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods

dc.contributor.author	Martínez Romo, J.
dc.contributor.author	Huesca Barril, Farsenio J.
dc.contributor.author	Araujo, L.
dc.contributor.author	Cal Marín, Enrique Antonio de la
dc.date.accessioned	2025-02-07T07:20:02Z
dc.date.available	2025-02-07T07:20:02Z
dc.date.issued	2024
dc.identifier.issn	1613-0073
dc.identifier.uri	https://hdl.handle.net/10651/76578
dc.description.sponsorship	This work has been partially supported by the Spanish Ministry of Science and Innovation within the DOTT-HEALTH Project (MCI/AEI/FEDER, UE) under Grant PID2019-106942RB-C32, OBSER-MENH Project (MCIN/AEI/10.13039/501100011033 and NextGenerationPRTR) under Grant TED2021-130398B-C21, and EDHER-MED under grant PID2022-136522OB-C21 as well as project SICAMESP (UNED, 2023-VICE-0029).
dc.language.iso	eng
dc.relation.ispartof	Ceur Workshop Proceedings
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204360804&partnerID=40&md5=f965d1dc0b41f298fa4561ab60be02da
dc.title	Uned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods
dc.type	conference output

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